Scoring Tourist Attractions Based on Sentiment Lexicon
Sentiment analysis uses NLP(Natural Language Processing)technology to analyze peoples sentiment or opinion.SA can treat the subjectivity,sentiment and opinion of text by calculation.In recent years,because a large number of opinion appear in web such as discussion forum,review sites,blogs and news sites,sentiment analysis has become an important research area.In this paper,we designed a state-of-the-art sentiment analysis system based on a Chinese sentiment lexicon.The system automatically scores the tourist attraction using reviews.Data used in this study are online tourist attraction reviews crawled from Ly.com which is a Chinese professional leisure travel booking platform.We describe the research design,methodology,and implement of system.Experiments are performed with promising outcomes.At last,we also discuss our future work on sentiment analysis.
Tourist attraction sentiment analysis review score lexicon
Yi Ding Bing Li Yuqi Zhao Can Cheng
State Key Lab of Software Engineering & School of Computer,Wuhan University;School of Computer,Wuhan International School of Software & State Key Laboratory of Software Engineering,Wuhan University;Res International School of Software & State Key Laboratory of Software Engineering,Wuhan University
国际会议
重庆
英文
1990-1993
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）